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Simone, Patricia M.; Whitfield, Lisa C.; Bell, Matthew C.; Kher, Pooja; Tamashiro, Taylor – Cognitive Research: Principles and Implications, 2023
Much of the learning that college students engage in today occurs in unsupervised settings, making effective self-regulated learning techniques of particular importance. We examined the impact of task difficulty and supervision on whether participants would follow written instructions to use repeated testing over restudying. In Study 1, we found…
Descriptors: Teaching Methods, Metacognition, Learning Strategies, College Students
Zhang, Danyang; Pérez-Paredes, Pascual – Computer Assisted Language Learning, 2021
Despite the increasing ownership of mobile devices among Chinese postgraduate EFL learners, relevant studies regarding mobile English learning resources (MELR) use by postgraduate learners are still lacking. This study tries to understand the uses and the motivation behind language learners' selection of MALL resources. In this research, 95…
Descriptors: Graduate Students, Handheld Devices, Telecommunications, Second Language Learning
Isozaki, Anna Husson – Reading Matrix: An International Online Journal, 2023
Benefits for L2 reading through offering learners extensive reading with listening have been found in empirical studies, but those findings may be under-utilized in academic English preparation settings, due to prioritized test practice in response to high-stakes testing for university matriculation. Self-paced extensive reading with listening…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Language Tests
Yunjiu, Luo; Wei, Wei; Zheng, Ying – SAGE Open, 2022
Artificial intelligence (AI) technologies have the potential to reduce the workload for the second language (L2) teachers and test developers. We propose two AI distractor-generating methods for creating Chinese vocabulary items: semantic similarity and visual similarity. Semantic similarity refers to antonyms and synonyms, while visual similarity…
Descriptors: Chinese, Vocabulary Development, Artificial Intelligence, Undergraduate Students